CLUSTER NUMBER ESTIMATION PROBLEM IN PARTITION METHO
Санкт-Петербургский государственный электротехнический университет „ЛЭТИ“, кафедра вычислительной техники; аспирант
Куприянов М. С.
Санкт-Петербургский государственный электротехнический университет „ЛЭТИ“, кафедра вычислительной техники; профессор
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Abstract. The problem of cluster number estimation in analyzed set partition methods is considered. The set of wellknown criteria designed for centroid methods are discussed: partition coefficient, partition entropy, and partition efficiency. Two new criteria are proposed: modified partition coefficient (for centroid methods) and partition quality (for non-centroid method).
Keywords:
clustering, partition methods, fuzzy equivalence relation, solution quality, quality criterion, partition coefficient, partition entropy.
